Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
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Updated
Oct 29, 2018 - C++
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Extended Kalman Filter for self-driving cars with noisy LIDAR and RADAR measuremets in c++
Case study project for Automated Driving
The fifth project in the Udacity Self-Driving Car Engineer Nanodegree: using an extended Kalman filter in C++ to estimate pedestrian pose and trajectory
using kalman filters for the localization of a fully autonomus bot
Self-driving Car Nano-degree. Term 2: Sensor Fusion. Project 1: Extended Kalman Filter
Sensor Fusion - Udacity's Self Driving Car Nanodegree
Udacity Flying Car Nanodegree Project #4: Quadrotor 3D Estimation
Simple data assimilation studies
Extended Kalman Filter Project for Self-Driving Car Nanodegree Program
Extended Kalman Filter implementation in C++
The Kalman Filter applied to simulated environments.
Extendable Particle Filter
Submission for EKF Project
Utilized a Kalman Filter to estimate the state of a moving object of interest with noise
My attempt to code an extended Kalman filter in Python for Bath Hack 2024.
Extended Kalman Filter predicting the position of a Bug.
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